My Approach | Next.js, Quart, T5 Model, BERT, LangChain

To streamline information retrieval, I designed an AI-powered summarization platform that efficiently processes large volumes of content. By integrating fine-tuned LongT5 and BERT models, I reduced summarization time by 60%, ensuring highly accurate and concise results. Additionally, I developed a LangChain-based RAG chatbot, improving retrieval accuracy.

Vision and Innovation

Processing large volumes of text quickly while maintaining accuracy was a key challenge. By fine-tuning LongT5 and BERT models, summarization time was reduced, and information retrieval accuracy.

Technical Highlights

AI Agent Integration – Dynamically selects tools to enhance automation by 50%.
Next.js Frontend – Ensures a fast and interactive user experience.
Quart Backend – Handles high-volume requests with minimal latency